{"id":"W3200472595","doi":"10.1109/compsac51774.2021.00270","title":"An API for Dew Computing Services","year":2021,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Dew; Computer science; Key (lock); Dew point; World Wide Web; Operating system; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004590295,0.002280402,0.001473847,0.002797647,0.002099953,0.007145691,0.00350537,0.003320333,0.02095636],"category_scores_gemma":[0.01097289,0.001549097,0.0017325,0.002398881,0.001247354,0.01167369,0.008578378,0.006891811,0.01920282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664703,"about_ca_system_score_gemma":0.001719198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002378979,"about_ca_topic_score_gemma":0.001476313,"domain_scores_codex":[0.9945974,0.0008435376,0.0009942621,0.0006183058,0.002206361,0.0007400222],"domain_scores_gemma":[0.9949243,0.001052998,0.0002604864,0.001647472,0.001638793,0.0004760369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00146556,0.0008694723,0.003680288,0.001661949,0.0001590668,0.00232688,0.002553696,0.003682888,0.03558668,0.3394096,0.3020788,0.3065251],"study_design_scores_gemma":[0.0001045498,0.0001072292,0.001092374,0.0002453371,0.00006129006,0.001618944,0.0003112887,0.03520235,0.02210903,0.03145714,0.9075086,0.000181952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004294955,0.0006077362,0.8678411,0.001348252,0.0009293129,0.001590603,0.002724346,0.08164148,0.03902229],"genre_scores_gemma":[0.164352,0.002803588,0.663683,0.005018245,0.000994352,0.004328906,0.02270074,0.03661368,0.09950542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02095636,"threshold_uncertainty_score":0.07010603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01539131416237581,"score_gpt":0.2766231212354113,"score_spread":0.2612318070730354,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}